Among various factors that can affect the performance of gait recognition, changes in
viewpoint pose the biggest problem. In this work, we develop a novel approach to cross …

Frontal gait recognition using partial cycle information has not received significant attention
to date in spite of its many potential applications. In this paper, we propose a hierarchical …

This paper proposes an approach to compute view-normalized body part trajectories of
pedestrians walking on potentially non-linear paths. The proposed approach finds …

Remote person identification by gait is one of the most important topics in the field of
computer vision and pattern recognition. However, gait recognition suffers severely from the …

Human action recognition is currently one of the most active research areas in computer
vision. It has been widely used in many applications, such as intelligent surveillance …

Background: Human gait as an effective behavioral biometric identifier has received much
attention in recent years. However, there are challenges which reduce its performance. In …

The performance of most gait recognition methods would drop down if the viewpoint of test
data is different from the viewpoint of training data. In this paper, we present an idea of …

Viewpoint variation has been a major challenge in dealing with comparison-based image
processing. Reduction or total removal of viewpoint variation has been the common pursuit …

In this paper, we propose a novel online multi-camera framework for person identification
based on gait recognition using Grassmann Discriminant Analysis. We propose an online …

目的: 基于视觉的人体行为识别是一个非常活跃的研究领域. 它在智能监控,
感知接口和基于内容的视频检索等领域具有广泛的应用前景. 然而, 一些现实应用场景仍然阻碍 …